Towards Efficient Automatic Scaling and Adaptive cost-optimized eHealth Services in Cloud

Elie Rachkidi 1 El Hadi Cherkaoui 1 Mustapha Ait-Idir 1 Nazim Agoulmine 1 Nada Chendeb Taher 2, 3 Marcelo Santos 4 Stenio Fernandes 4
1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 Azm Center for Researches
3 Faculty of Engineering
4 Informatics Center (CIn)
Abstract : Cloud Computing is an emerging commercial model which allows organizations to eliminate the need to maintain costly hardware, software and network infrastructures. It also permits to avoid the high operational cost for operating and maintaining these infrastructures. Similarly, in the eHealth area, emerging eHealth applications used in conjunction with wearable medical sensor devices and personal devices are being adopted by more and more people with the aim to improve their lifestyle and health. eHealth organizations, willing to provide remote eHealth management, are integrating Wireless Body Area Networks (WBANs) technology and Cloud Computing technology. This integration allows eHealth organizations to deploy their eHealth services on demand and instantly to monitor patients health status. We propose in this paper, a solution for such organizations to efficiently deploy their eHealth services and adapt provisioned physical resources dynamically to satisfy the quality of health of potentially millions of subscribers.
Keywords : Cloud Computing eHealth SLA Self-adaptive Auto-scaling
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01244858
Contributor : Frédéric Davesne <>
Submitted on : Wednesday, December 16, 2015 - 12:51:06 PM
Last modification on : Wednesday, November 13, 2019 - 11:50:04 AM

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IBISC | IBISC-COSMO | UNIV-EVRY | UNIV-PARIS-SACLAY

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Elie Rachkidi, El Hadi Cherkaoui, Mustapha Ait-Idir, Nazim Agoulmine, Nada Chendeb Taher, et al.. Towards Efficient Automatic Scaling and Adaptive cost-optimized eHealth Services in Cloud. 2015 IEEE Global Communications Conference: Selected Areas in Communications: E-Health (GC' 15 - SAC - E-Health), Dec 2015, San Diego, CA., United States. (elec. proc.), ⟨10.1109/GLOCOM.2014.7417751⟩. ⟨hal-01244858⟩

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